A Deep Neural Network-Ensemble Adjustment Kalman Filter and Its Application on Strongly Coupled Data Assimilation

This paper introduces a novel ensemble adjustment Kalman filter (EAKF) that integrates a machine-learning approach. The conventional EAKF adopts linear and Gaussian assumptions, making it difficult to handle cross-component updates in strongly coupled data assimilation (SCDA). The new approach emplo...

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מידע ביבליוגרפי

Principais autores:	Renxi Wang, Zheqi Shen
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	MDPI AG 2024-01-01
סדרה:	Journal of Marine Science and Engineering
נושאים:	data assimilation machine learning deep neural network ensemble Kalman filter strongly coupled data assimilation
גישה מקוונת:	https://www.mdpi.com/2077-1312/12/1/108
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